Paper Citation Record · LEDGER

Graph Data Augmentation for Graph Machine Learning: A Survey

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2202.08871.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2202.08871 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:38:07.477625Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T16:49:57.495416Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e35ed4a-c065-4633-a0d9-a4af824beb9a · inbound

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction cites this paper.

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-12T05:39:23.306171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee922674-60cf-4a98-8214-a1ff5169d1a2 · inbound

Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review cites this paper.

Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-12T10:38:07.477625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39b5970b-9c92-4880-b729-b5f8d1d2e79c · inbound

NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language cites this paper.

NAT-NL2GQL: A Novel Multi-Agent Framework for Translating Natural Language to Graph Query Language Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:34.793340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd2a7dbb-8f9f-4bc7-9345-f5b822ff8576 · inbound

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs cites this paper.

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:52:39.076064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f41078a-4415-4926-9401-8bb5919e8b89 · inbound

Target-Aware Data Augmentation for SAT Prediction cites this paper.

Target-Aware Data Augmentation for SAT Prediction Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:57.255749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8685f66e-88c7-4e29-a347-c72c1b144bae · inbound

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark cites this paper.

Graph Reduction in Multirelational Networks: A Spreading-Oriented Reduction Benchmark Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:21.805587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2bd72004-109d-4ed1-b0dc-6ce370b0f8df · inbound

An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling cites this paper.

An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:09:29.619586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f746c8b-6eae-455e-b949-5906dcee8219 · inbound

Data Augmentation: A Fourier Analysis Perspective cites this paper.

Data Augmentation: A Fourier Analysis Perspective Graph Data Augmentation for Graph Machine Learning: A Survey

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:57.496875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.